I added Qwen-Image 2.1 + LoRA support to TensorSharp (GGUF, local inference)

Excerpt

I maintain TensorSharp , an open-source inference engine. It can now run Qwen-Image 2.1 locally for text-to-image generation and image editing, with support for its LoRA adapters. I’ve added configs for regular style and editing LoRAs, plus accelerated adapters with their own sampling recipes. For example, Pruna 8-step runs at 8 steps, and Viggle Turbo uses 6 transformer passes. Those are fewer model passes, not a claim of a measured end-to-end speedup on particular hardware. Model files: Qwen-I